Analyzing Data with Power BI

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Description

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

After completing this course, students will be able to:
•    Perform Power BI desktop data transformation.
•    Describe Power BI desktop modelling.
•    Create a Power BI desktop visualization.
•    Implement the Power BI service.
•    Describe how to connect to Excel data.
•    Describe how to collaborate with Power BI data.
•    Connect directly to data stores.
•    Describe the Power BI developer API.
•    Describe the Power BI mobile app.

Program :

•    Module 1: Introduction to Self-Service …

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Foire aux questions (FAQ)

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Vous n'avez pas trouvé ce que vous cherchiez ? Voir aussi : Microsoft Power, Microsoft Access, Microsoft Sharepoint, Data management et Data Science.

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

After completing this course, students will be able to:
•    Perform Power BI desktop data transformation.
•    Describe Power BI desktop modelling.
•    Create a Power BI desktop visualization.
•    Implement the Power BI service.
•    Describe how to connect to Excel data.
•    Describe how to collaborate with Power BI data.
•    Connect directly to data stores.
•    Describe the Power BI developer API.
•    Describe the Power BI mobile app.

Program :

•    Module 1: Introduction to Self-Service BI Solutions
•    Module 2: Introducing Power BI
•    Module 3: Power BI
•    Module 4: Shaping and Combining Data
•    Module 5: Modeling data
•    Module 6: Interactive Data Visualizations
•    Module 7: Direct Connectivity
•    Module 8: The Developer API
•    Module 9: Power BI mobile app

Who should follow this course ?

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

Prerequisites :

Before attending this course, students must have:
•    Excellent knowledge of relational databases and reporting.
•    Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
•    Some exposure to basic programming constructs (such as looping and branching).
•    An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
•    Familiarity with Microsoft Office applications – particularly Excel.

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